Delete a CDV segment by its numeric ID.
AI agents call delete_segment to permanently remove resources in Cloudera Data Visualization MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes a segment (a data filter/grouping resource) from Cloudera Data Visualization. Deletion is irreversible and cannot be undone, making it destructive. The high severity reflects the potential business impact if an agent incorrectly deletes segments relied upon by dashboards or other users. The blast radius is substantial in a shared analytics environment where segments may be widely used.
From the tool's definition Tool description explicitly states 'Delete a CDV segment by its numeric ID'. The verb 'delete' indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a CDV segment by its numeric ID. It is categorised as a Destructive tool in the Cloudera Data Visualization MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Cloudera Data Visualization MCP Server MCP server in PolicyLayer and add a rule for delete_segment: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Cloudera Data Visualization MCP Server. Nothing to install.
delete_segment is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_segment rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for delete_segment. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
delete_segment is provided by the Cloudera Data Visualization MCP Server MCP server (kevintalbert/cdv-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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